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Nutrients 2015, 7(6), 4345-4362; doi:10.3390/nu7064345

Profiling Physical Activity, Diet, Screen and Sleep Habits in Portuguese Children

1
CIFI2D, Faculty of Sport, University of Porto, Rua Plácido Costa, 91, 4200-450 Porto, Portugal
2
Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA 70808, USA
3
Department of Physical Education and Sports Science, CAV, Federal University of Pernambuco, Vitória de Santo Antão 55608-680, Brazil
4
Federal University of Technology—Paraná (UTFPR), Campus Curitiba, Curitiba 80230-901, Brazil
5
School of Education, Syracuse University, Syracuse, NY 13244, USA
*
Author to whom correspondence should be addressed.
Received: 1 April 2015 / Revised: 8 May 2015 / Accepted: 20 May 2015 / Published: 2 June 2015
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Abstract

Obesity in children is partly due to unhealthy lifestyle behaviours, e.g., sedentary activity and poor dietary choices. This trend has been seen globally. To determine the extent of these behaviours in a Portuguese population of children, 686 children 9.5 to 10.5 years of age were studied. Our aims were to: (1) describe profiles of children’s lifestyle behaviours; (2) identify behaviour pattern classes; and (3) estimate combined effects of individual/ socio-demographic characteristics in predicting class membership. Physical activity and sleep time were estimated by 24-h accelerometry. Nutritional habits, screen time and socio-demographics were obtained. Latent Class Analysis was used to determine unhealthy lifestyle behaviours. Logistic regression analysis predicted class membership. About 78% of children had three or more unhealthy lifestyle behaviours, while 0.2% presented no risk. Two classes were identified: Class 1-Sedentary, poorer diet quality; and Class 2-Insufficiently active, better diet quality, 35% and 65% of the population, respectively. More mature children (Odds Ratio (OR) = 6.75; 95%CI = 4.74–10.41), and boys (OR = 3.06; 95% CI = 1.98–4.72) were more likely to be overweight/obese. However, those belonging to Class 2 were less likely to be overweight/obese (OR = 0.60; 95% CI = 0.43–0.84). Maternal education level and household income did not significantly predict weight status (p ≥ 0.05). View Full-Text
Keywords: unhealthy lifestyle behaviours; latent classes; youth; ISCOLE unhealthy lifestyle behaviours; latent classes; youth; ISCOLE
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Pereira, S.; Katzmarzyk, P.T.; Gomes, T.N.; Borges, A.; Santos, D.; Souza, M.; Santos, F.K.; Chaves, R.N.; Champagne, C.M.; Barreira, T.V.; Maia, J.A. Profiling Physical Activity, Diet, Screen and Sleep Habits in Portuguese Children. Nutrients 2015, 7, 4345-4362.

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